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Improve dataset card: Add metadata, links to paper, project, code, and usage guidance

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by nielsr HF Staff - opened
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  1. README.md +25 -35
README.md CHANGED
@@ -1,48 +1,36 @@
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  ---
 
 
 
 
 
 
 
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  configs:
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  - config_name: input
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  data_files:
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  - split: valid
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  path:
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- - "interaction_splits/valid_inter_input.tsv"
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  - split: test
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- path:
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- - "interaction_splits/test_inter_input.tsv"
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  default: true
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- - config_name: target
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  data_files:
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  - split: valid
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  path:
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- - "interaction_splits/valid_inter_target.tsv"
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- - config_name: mapping
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- data_files: "cwid_to_id.tsv"
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- license: mit
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  ---
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- <!-- configs:
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- - config_name: ordered_id_splits
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- data_files:
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- - split: train
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- path:
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- - "ordered_id_splits/valid_input.tsv"
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- - "ordered_id_splits/valid_target.tsv"
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- - split: test
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- path: "ordered_id_splits/test_input.tsv"
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- default: true
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- - config_name: interaction_splits
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- data_files:
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- - split: valid
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- path:
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- - "interaction_splits/valid_inter_input.tsv"
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- - "interaction_splits/valid_inter_target.csv"
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- - split: test
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- path: "interaction_splits/test_input.tsv"
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- - config_name: clueweb_id_mapping
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- data_files: "cwid_to_id.tsv" -->
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-
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- # ClueWeb-Reco:
 
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  ## ClueWeb-Reco as Webpage Recommendation Hidden Test
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  ClueWeb-Reco is a dataset constructed by mapping real-life U.S. browsing history to publicly available websites in the English subset of [ClueWeb22-B](https://lemurproject.org/clueweb22/) dataset.
@@ -75,10 +63,12 @@ We provide input and ground truth for the validation set. The target of the test
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  - valid_target.tsv: validation dataset ground truth
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  - test_input.tsv: input for testing dataset (ground truth hidden)
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- ## Utility files for ClueWebApi usage and example processing on the ordered ClueWeb id list format
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- - cw_data_processing:
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- - ClueWeb22Api.py: API to retrieve ClueWeb document information from official ClueWeb22 docids
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- - example_dataset.py: example to load input data sequences with ClueWeb22Api
 
 
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  ## Note
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- The ClueWeb-Reco dataset was collected, stored, released, and is maintained by our team at Carnegie Mellon University.
 
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  ---
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+ license: mit
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+ task_categories:
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+ - text-retrieval
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+ - recommendation
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+ tags:
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+ - recommender-systems
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+ - webpage-recommendation
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  configs:
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  - config_name: input
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  data_files:
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  - split: valid
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  path:
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+ - interaction_splits/valid_inter_input.tsv
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  - split: test
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+ path:
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+ - interaction_splits/test_inter_input.tsv
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  default: true
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+ - config_name: target
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  data_files:
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  - split: valid
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  path:
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+ - interaction_splits/valid_inter_target.tsv
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+ - config_name: mapping
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+ data_files: cwid_to_id.tsv
 
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  ---
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+ # ClueWeb-Reco Dataset
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+ This dataset is part of the [ORBIT - Open Recommendation Benchmark for Reproducible Research with Hidden Tests](https://huggingface.co/papers/2510.26095) paper.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ Project page: https://www.open-reco-bench.ai
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+ Code: https://github.com/cxcscmu/RecSys-Benchmark
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  ## ClueWeb-Reco as Webpage Recommendation Hidden Test
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  ClueWeb-Reco is a dataset constructed by mapping real-life U.S. browsing history to publicly available websites in the English subset of [ClueWeb22-B](https://lemurproject.org/clueweb22/) dataset.
 
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  - valid_target.tsv: validation dataset ground truth
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  - test_input.tsv: input for testing dataset (ground truth hidden)
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+ ## Sample Usage
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+ The repository provides utility files in the `cw_data_processing` folder for interacting with the ClueWeb-Reco dataset:
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+ - `ClueWeb22Api.py`: An API to retrieve ClueWeb document information from official ClueWeb22 docids.
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+ - `example_dataset.py`: An example script to load input data sequences using the `ClueWeb22Api`.
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+
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+ You can refer to these files within the GitHub repository (linked above) for detailed examples on how to load and process the dataset.
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  ## Note
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+ The ClueWeb-Reco dataset was collected, stored, released, and is maintained by our team at Carnegie Mellon University.